Examples# Examples that show how to work with custom datasets and pipelines Datasets# Custom Dataset - Basics Custom Dataset - Basics Custom Dataset - A real world example Custom Dataset - A real world example The final ECG Example dataset The final ECG Example dataset Algorithms# Algorithms - A real world example: QRS-Detection Algorithms - A real world example: QRS-Detection The final QRS detection algorithms The final QRS detection algorithms Parameter Optimization# Grid Search optimal Algorithm Parameter Grid Search optimal Algorithm Parameter Optimizable Pipelines Optimizable Pipelines GridSearchCV GridSearchCV Custom Optuna Optimizer Custom Optuna Optimizer Build-in Optuna Optimizers Build-in Optuna Optimizers Pure parameters Pure parameters Validation# Validation Validation Cross Validation Cross Validation Custom Scorer Custom Scorer Advanced cross-validation. Advanced cross-validation. Transforming training datasets. Transforming training datasets. Adding a fixed subset to every training fold Adding a fixed subset to every training fold Framework Integrations# Tensorflow/Keras Tensorflow/Keras Advanced Recipies# Caching Caching Dataclass and Attrs support Dataclass and Attrs support Composite-Algorithms and Pipelines Composite-Algorithms and Pipelines TypedIterator TypedIterator Optimization Info Optimization Info Pretrained models and predefined parameters Pretrained models and predefined parameters Warning and Error Context Warning and Error Context Gallery generated by Sphinx-Gallery
